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Record W2604270671 · doi:10.5430/ijhe.v6n2p153

Achievements and Lessons Learned from Vietnam’s Higher Education Quality Assurance System after a Decade of Establishment

2017· article· en· W2604270671 on OpenAlexvenueno aff
Thi Thu Hien Ta

Bibliographic record

VenueInternational Journal of Higher Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsAccreditationQuality assuranceHigher educationContext (archaeology)Certification and AccreditationQuality (philosophy)Political scienceQuality managementPublic relationsBusinessMedical educationManagement systemEngineeringMedicineOperations managementMarketing

Abstract

Higher education quality assurance and accreditation was officially implemented inVietnamover twelve years ago. From a totally centralized model,Vietnam’s accreditation system has been becoming more independent, especially with the establishment of accrediting agencies. The first accreditation certificates were also awarded to universities that met quality standards and criteria. This paper investigates the development ofVietnam’s higher education quality assurance and accreditation for the last decade since the national quality assurance organization was established. The study first synthesizes the results achieved within this system, both in policy and practice, leadership and management. It also discusses human resources development for quality assurance and accreditation in the national context. Next, the paper highlights the self-evaluation and external evaluation activities, two most important steps of the accreditation process. In addition, building quality culture within higher education institutions is also paid attention to. Finally, lessons from the establishment and development ofVietnam’s accreditation are drawn. This study looks at an overall picture ofVietnam’s higher education quality assurance system since its establishment with a focus on policy, practice, leadership and management. It also hopes to contribute to the literature related to accreditation ofVietnam’s higher education.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

1 of 3 models called this metaresearch. This work is contested: it sits on the field's empirical boundary, and whether it counts depends on which model you asked. It is one of the 51 works in the disagreement dossier.

stratum: venue_new · design weight: 2684.25 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: medium

Analysis of Vietnam's higher education quality assurance and accreditation system; the object is educational accreditation and university governance rather than research evaluation, though the two are adjacent.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

This study examines Vietnam's higher education accreditation system rather than research evaluation or practice.

Grok 4.5T1
genre: empirical
about Canada: no
confidence: medium

Object is higher-education quality assurance and accreditation as evaluation system, including self/external evaluation and quality culture.

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.410
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2017
Admission routes1
Has abstractyes

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